|
|
|
| Regularized inversion of 3D gravity data:a new GPU parallelized method based on CUDA |
| LI Wu-Yang1,2, ZHANG Jian1,2, LIN Wei3 |
1. College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049;
2. Key Laboratory of Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049;
3. Department of Geology and Geophysics, University of Utah, Salt Lake City 84112 |
|
|
|
|
Abstract We introduce a new 3D parallelgravity inversion method based on CUDA GPU in PGI Fortran,which could be used in PCs and Laptops with NVDIA graphic cards to accelerate iteration speed for Re-Weight Regularized Conjugate Gradient method up to hundreds times.Storage and threads optimization was made for visual OS, leading a more than 0.1 billion cell's number for inversion in PCs.The result of model study shows that this method is an efficient and believable parallel computing algorithm.
|
|
Received: 07 November 2015
Published: 10 February 2016
|
|
|
|
|
|
| [1] |
CHEN Xiu-Juan, LIU Zhi-Di, LIU Yu-Xi, CHAI Hui-Qiang, WANG Yong. Research into the pore structure of tight reservoirs:A review[J]. Geophysical and Geochemical Exploration, 2022, 46(1): 22-31. |
| [2] |
XIAO Guan-Hua, ZHANG Wei, CHEN Heng-Chun, ZHUO Wu, WANG Yan-Jun, REN Li-Ying. Application of shallow seismic reflection surveys in the exploration of urban underground space in Jinan[J]. Geophysical and Geochemical Exploration, 2022, 46(1): 96-103. |
|
|
|
|
